Answering confucius: The reason why we complicate

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Pereira Nunes, B.; Pedrosa, S.; Kawase, R.; Alrifai, M.; Marenzi, I. et al.: Answering confucius: The reason why we complicate. In: Hernández-Leo, D.; Ley, T.; Klamma, R.; Harrer, A. (Eds.): Scaling up Learning for Sustained Impact. Heidelberg : Springer Verlag, 2013 (Lecture Notes in Computer Science ; 8095), S. 496-501. DOI: https://doi.org/10.1007/978-3-642-40814-4_45

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1331

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Sum total of downloads: 104




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Abstract: 
Learning is a level-progressing process. In any field of study, one must master basic concepts to understand more complex ones. Thus, it is important that during the learning process learners are presented and challenged with knowledge which they are able to comprehend (not a level below, not a level too high). In this work we focus on language learners. By gradually improving (complicating) texts, readers are challenged to learn new vocabulary. To achieve such goals, in this paper we propose and evaluate the 'complicator' that translates given sentences to a chosen level of higher degree of difficulty. The 'complicator' is based on natural language processing and information retrieval approaches that perform lexical replacements. 30 native English speakers participated in a user study evaluating our methods on an expert-tailored dataset of children books. Results show that our tool can be of great utility for language learners who are willing to improve their vocabulary. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40814-4_45.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: bookPart
Publishing status: acceptedVersion
Issue Date: 2013
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 83 79.81%
2 image of flag of Russian Federation Russian Federation 3 2.88%
3 image of flag of Czech Republic Czech Republic 3 2.88%
4 image of flag of Brazil Brazil 3 2.88%
5 image of flag of United States United States 2 1.92%
6 image of flag of China China 2 1.92%
7 image of flag of Canada Canada 2 1.92%
8 image of flag of Vietnam Vietnam 1 0.96%
9 image of flag of Spain Spain 1 0.96%
10 image of flag of Switzerland Switzerland 1 0.96%
    other countries 3 2.88%

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